vtable_engine_dashboard

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description must carry the full behavioral burden. It does not disclose whether the tool is read-only, whether it changes state, what data source it uses, or what invoking it returns. The word '模拟' hints at simulated content but does not clarify behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single compact sentence with no filler. It front-loads the resource and purpose and efficiently lists the two dashboard contents. Nothing extraneous appears.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a zero-parameter tool, the core purpose is inferable, but the description lacks detail about what the invocation returns and whether it is purely observational. With no annotations and no output schema, the description only partially covers what an agent needs to know before calling.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has zero parameters and an empty input schema, so there is no parameter meaning for the description to clarify. Under the zero-parameter baseline, the description does not need to compensate for parameter documentation.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description identifies a specific resource ('VTable 引擎') and a clear function ('概览仪表盘' showing simulated table instance status and use case distribution). It does not explicitly differentiate from sibling dashboard/panel tools like case_execution_panel or vtable_meta, so it stops short of full clarity.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this dashboard instead of related sibling tools, no conditions, and no exclusions. The agent must infer its usage from the name and content description alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.